Dynamic Allocation of Manufacturing Tasks and Resources in Shared Manufacturing
نویسندگان
چکیده
Shared manufacturing is recognized as a new point-to-point mode in the digital era. referred to realize dynamic allocation of tasks and resources. Compared with traditional mode, shared offers more abundant resources flexible configuration options. This paper proposes model based on description environment, characteristics resource allocation. The execution tasks, which candidate enter or exit at various time nodes, enables Then non-dominated sorting genetic algorithm (NSGA-II) multi-objective particle swarm optimization (MOPSO) algorithms are designed solve model. optimal parameter settings for NSGA-II MOPSO have been obtained according experiments population sizes iteration numbers. In addition, proposed model’s efficiency, considers entries exits further demonstrated by overlap between outputs
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ژورنال
عنوان ژورنال: Intelligent Automation and Soft Computing
سال: 2023
ISSN: ['2326-005X', '1079-8587']
DOI: https://doi.org/10.32604/iasc.2023.035114